Jhosimar George Arias Figueroa (jariasf)

jariasf

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Home Page:jhosimar.com

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Jhosimar George Arias Figueroa's repositories

CS231n

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

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GMVAE

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

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Online-Judges-Solutions

Solutions of Online Programming Judges such as SPOJ, UVA, etc

clustering-nips-2017

Code for "Is Simple Better?: Revisiting Simple Generative Models for Unsupervised Clustering" - Bayesian Deep Learning Workshop (NIPS 2017)

CC126-2202

Implementaciones de ejercicios del curso de Introducción a los Algoritmos

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Corner-Detector

Parallel implementation, in CUDA, of Corner Detection in images using Gauss and Sobel filters.

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CITEC

Competitive Programming Course Materials in Spanish

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CC182-AED

Repositorio de implementación del curso de Algoritmos y Estructuras de Datos - UPC 2022

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clustering-sibgrapi-2017

Code for SIBGRAPI 2017 Learning to Cluster with Auxiliary Tasks: A Semi-Supervised Approach

Gender-Prediction-From-Handwriting

Final project of Machine Learning course

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Generative-Models

Implementation of Generative Models

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Machine-Learning

Implementations of Machine Learning Algorithms

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MIT-6.S191

My assignment solutions for MIT 6.S191 - Introduction to Deep Learning

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semisupervised-vae-metric-embedding

Code for the ongoing work "Semi-supervised Learning using Deep Generative Models and Metric Embedding Auxiliary Task"

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deep-clustering-mmd-vae

Code for the ongoing work "Deep Clustering using MMD Variational Autoencoder and Traditional Clustering Algorithms"

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Deep-Learning

Deep Learning algorithms and models

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hdbscan

Lua/Torch implementation of Hierarchical Density-Based Spatial Clustering.

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jariasf.github.io

Personal Website

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semisupervised-dgm-auxiliary-tasks

Code for the ongoing work "Semi-supervised Learning using Deep Generative Models and Auxiliary Tasks"

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talks

Collection of the talks I gave at different conferences and events.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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